Häftad, Engelska, 2023
Del 14293 i serien Lecture Notes in Computer Science
Domain Adaptation and Representation Transfer
5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Av Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
799 kr
Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.
Beskrivning
This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
Produktinformation
- Utgivningsdatum: 2023-10-14
- Mått: 155 x 235 x 11 mm
- Vikt: 283 g
- Format: Häftad
- Språk: Engelska
- Serie: Lecture Notes in Computer Science
- Antal sidor: 170
- Förlag: Springer International Publishing AG
- ISBN: 9783031458569
Utforska kategorier
Butikslager
Ej i lager i butik.
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.